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Related Questions
- What are the primary objectives of supervised fine-tuning of pre-trained models?
- How does unsupervised fine-tuning of pre-trained models differ from traditional unsupervised learning methods?
- Can you explain the concept of 'warm-starting' in the context of pre-trained model fine-tuning?
- What are some common applications of supervised fine-tuning of pre-trained models in natural language processing?
- How does the choice of pre-training task affect the performance of a model in downstream tasks?
- What are some strategies for selecting the optimal hyperparameters for supervised fine-tuning of pre-trained models?
- Can you discuss the role of transfer learning in the context of pre-trained model fine-tuning and its benefits?
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